ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)
Sample Question Paper -1 (Class X)
2023-24
Max. Time: 2 Hours
Max. Marks: 50
General Instructions:
Please read the instructions carefully.
This Question Paper consists of 21 questions in two sections: Section A & Section B.
Section A has Objective type questions, whereas Section B contains Subjective type questions.
Out of the given (5 + 16 =) 21 questions, a candidate has to answer (5 + 10 =) 15 questions in the
allotted (maximum) time of 2 hours.
5. All questions of a particular section must be attempted in the correct order.
6. SECTION A- OBJECTIVE TYPE QUESTIONS (24 MARKS):
i.
This section has 05 questions.
ii.
Marks allotted are mentioned against each question/part.
iii.
There is no negative marking.
iv.
Do as per the instructions given.
7. SECTION B- SUBJECTIVE TYPE QUESTIONS (26 MARKS):
i.
This section has 16 questions.
ii.
A candidate has to do 10 questions.
iii.
Do as per the instructions given.
iv.
Marks allotted are mentioned against each question/part.
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SECTION A: OBJECTIVE TYPE QUESTIONS
Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
Jatin sends an email to his manager, outlining a project proposal. The manager reviews
the proposal and provides detailed comments on how to improve it. What type of
feedback is the manager giving?
(a) Positive feedback
(b) Constructive feedback
(c) Negative feedback
(d) No feedback provided
ii.
Sarah has been feeling overwhelmed with her workload at the office. She's been
struggling to meet deadlines and feels stressed. What could Sarah do to manage her
stress effectively?
(a) Ignore the workload and hope it gets better on its own
(b) Take short breaks during work to relax and recharge
(c) Avoid communicating with her colleagues about her workload
(d) Continue working long hours without breaks
Assertion: Effective decision-making is a crucial quality for an entrepreneur.
Reason: Entrepreneurs often face complex and high-stakes decisions that can
significantly impact their businesses.
(a) Both A and R are correct and R is the correct explanation of A
(b) Both A and R are correct but R is NOT the correct explanation of A
(c) A is correct but R is not correct
(d) A is not correct but R is correct
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What is the purpose of the Recycle Bin in Windows?
(a) It stores temporary files.
(b) It permanently deletes files.
(c) It serves as a storage area for deleted files.
(d) It is a shortcut to the Control Panel.
Mindfulness meditation is a technique commonly used for:
(a) Increasing stress levels
(b) Relaxation and reducing anxiety
(c) Inducing hyperactivity
(d) Ignoring one's thoughts
What is one of the key objectives of sustainable development in the context of
environmental conservation?
(a) Maximizing resource exploitation
(b) Ignoring the protection of natural habitats
(c) Promoting unsustainable consumption patterns
(d) Minimizing waste and pollution
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Q. 2
i.
Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)
Assertion (A): Someone might be a talented musician but a poor chess player.
Reason (R): Musical and spatial abilities are different skills often developed through
distinct forms of practice and experience.
(a) Both A and R are correct and R is the correct explanation of A
(b) Both A and R are correct but R is not the correct explanation of A
(c) A is correct but R is not correct
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(d) A is not correct but R is correct.
A tech company developed an AI system for job recruitment. The system, however,
started to favour candidates from certain universities over others, leading to concerns
about fairness and diversity. What is the primary concern in this situation?
(a) AI Ethics
(b) Data Encryption
(c) Algorithm Efficiency
(d) Model Calibration
Statement 1: Large neural networks get better and better as they are given more data,
without quickly maxing out their performance.
Statement 2: Traditional learning methods keep improving a lot, no matter how much
data they get.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Consider a scenario where a start-up has a limited amount of data initially but expects to
gather more data rapidly in the future. Based on the given figure, which strategy would be
most appropriate for the start-up to ensure optimal model performance both now and in
the future?
(a) Begin with traditional ML algorithms and transition to a large neural network as data
size increases.
(b) Use a medium neural network throughout, adjusting its architecture as needed.
(c) Use a small neural network initially and gradually transition to a medium and then a
large neural network as data grows.
(d) Start with a large neural network from the beginning regardless of the data size.
v.
_______ is a file format commonly used for storing tabular data in plain-text form, with
each line representing a data record.
(a) mp4
(b) zip
(c) csv
(d) Gif
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1
In a collection of 5 articles about space exploration, the term 'exobiology' appears only
twice and only in one of the articles. How would you classify the term 'exobiology' based
on its occurrence?
(a) Stop word
(b) Rare word
(c) Common word
(d) Irrelevant word
Q. 3
i.
Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
Read the examples given belowi.
Using a calculator to solve mathematical problems.
ii.
A recommendation system suggesting movies on a streaming platform.
iii.
An automatic door that opens when someone approaches.
iv.
A program that adjusts the colour of photos based on the time of day.
Choose the options that are not AI:
(a) i and ii
(b) i and iii
(c) ii and iv
(d) ii and iii
When we talk about ‘the type of _________ we want to collect,’ we are essentially
discussing the different types of data attributes.
Which of the following is NOT an application of data science?
(a) Predicting stock market trends
(b) Customizing music playlists based on user preferences
(c) Translating languages in real-time
(d) Designing aerodynamic shapes for cars
_________ is the process of dividing an image into multiple segments where each
segment corresponds to a different object or part of the image.
(a) Object recognition
(b) Image classification
(c) Image segmentation
(d) Object localization
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Q. 4
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ii.
Identify the given Chatbot type:
This bot provides predefined answers to specific questions, without the ability to
understand context or adapt over time. It relies on a set of established rules and does
not use machine learning or complex algorithms.
When a model's ability to correctly identify only the relevant instances is as crucial as its
ability to not miss out on any relevant instance, which metrics are primarily considered?
(a) Sensitivity and Specificity
(b) Precision and Recall
(c) Accuracy and Sensitivity
(d) Specificity and Accuracy
Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
Rohan read about AI concepts in a book recently but is struggling to remember the term
that describes algorithms which allow machines to improve from experience. Help him
with the correct term.
Statement 1: The process of training an AI model involves using it on unseen data.
Statement 2: The "ground truth" in machine learning refers to the model's predicted
outputs.
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Priyanka developed a weather prediction system using historical data from the past ten
years. She trained the model with this entire dataset and was thrilled when it predicted
the weather perfectly for all the days in the dataset. However, when she tested the
model on current weather data, its predictions were often incorrect. Name the concept.
Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
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Raj, an engineering graduate, developed a system that can identify different species of
plants by analysing images of their leaves. He trained the system with thousands of
images, each labelled with the correct species name. When users upload an image of a
leaf, the system can quickly determine the species it belongs to. Identify the domain of AI
in the given scenario.
(a) Natural Language Processing
(b) Data Science
(c) Computer Vision
(d) None of these
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Which evaluation metric focuses on the proportion of actual positives that are correctly
identified?
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(a) Both Statement1 and Statement2 are correct
(b) Both Statement1 and Statement2 are incorrect
(c) Statement1 is correct but Statement2 is incorrect
(d) Statement2 is correct but Statement1 is incorrect
Simran has developed a machine learning algorithm that predicts the likelihood of patients
getting a particular disease based on their age, diet, fitness level, and genetic history. Her
model showcases a high recall and specificity. Which of the following statements is
incorrect?
(a) Data collected based on age, diet, fitness level, and genetic history is known as
Validation Data.
(b) Data used to verify the efficiency of a machine learning model, like recall and specificity,
is applied on Testing Data.
(c) The initial set of data used to teach and refine the model is called Training Data.
(d) While splitting, the majority of the dataset is reserved for testing and a minor part for
training.
How many channels does a grayscale image have?
When analysing customer reviews to determine if they had a good or bad experience with
a product, which NLP technique is most commonly applied?
(a) Machine Translation
(b) Named Entity Recognition
(c) Sentiment Analysis
(d) Tokenization
______ is the term used to describe the sharpness or clarity of an image, often determined
by the number of pixels in a specific area.
(a) Definition
(b) Resolution
(c) Clarity
(d) Pixilation
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Which of the following best describes the role of syntax in a language?
(a) Deciphering the tone of a statement
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(b) Understanding the cultural context of a word
(c) Dictating the proper arrangement of words in a sentence
(d) Interpreting the emotions behind a sentence
v.
Which text processing technique involves breaking a text into individual words or terms,
often to be used as input for other methods like frequency counts or text modelling?
(a) Lemmatization
(b) Stopword Removal
(c) Tokenization
(d) N-gram modelling
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vi.
Which one of the following scenarios results in a high false positive cost?
(a) Metal detector at an airport
(b) Predicting rain for agricultural crops
(c) Earthquake warning system
(d) A movie recommendation system
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SECTION B: SUBJECTIVE TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks)
Answer each question in 20 – 30 words.
Write any two types of barrier in communication.
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Q. 7
Write any two benefits of self-awareness.
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Q. 8
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Q. 9
Your friend, Jai, is experiencing slow performance on their computer. He is frustrated
because it is affecting his work and productivity. He come to you for advice on how to
improve the computer's performance. Suggest any two ways you can recommend to
improve the speed of his computer?
Enlist any two myths about entrepreneurship.
Q. 10
List any two primary aims of the Sustainable Development Goals (SDGs).
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Q. 6
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Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)
Q. 11
Many of us use online shopping platforms. When we browse products, these platforms
often suggest related items or send promotional emails. Why do online platforms make
such suggestions?
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Q. 12
Rohan and Aman aim to create a model that can predict housing prices based on various
features without any prior labelled data. Which learning model should they use and
why?
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Q. 13
Priya aims to integrate third-party datasets into her project. Recommend two
considerations she should prioritize when using external datasets.
2
Q. 14
Q. 15
Define the term "pixel density" with an example.
2
Identify any two stop words which should not be removed from the given sentence and
why?
"Whether you prefer contacting us via showick@thorpeseducation.com or you don't like
emails, our team is here to assist."
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Q. 16
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Draw the confusion matrix for the following data:
• the number of true positive = 150
• the number of true negative = 55
• the number of false positive = 35
• the number of false negative = 260
Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)
Your younger cousin sees you working on a coding project related to machine learning.
He's curious about what machine learning is. Help him grasp the concept of machine
learning by providing a concise definition and illustrating with an example of how
computers use this technique to learn and adapt.
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Q. 18
Priya is gearing up to manage her first AI project cycle. Brief her on the following:
(i) Data collection and preparation
(ii) Model development
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Q. 19
Identify and explain the types of the learning-based approaches in the figures given below:
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Q. 17
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If a new image of a fruit was presented to the model trained on Figure A, it would be able
to confidently classify it as either an apple or an orange. What type of learning does this
scenario exemplify, and how does it contrast with the learning approach represented in
Figure B?
Q. 20
Computers excel at complex calculations at speeds incomprehensible to humans.
However, they lack intuition and emotions. Do you think there might be challenges when
trying to program computers to make decisions like humans, especially in emotionally
charged situations? Explain.
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Q. 21
An AI system predicted the likelihood of patients having a specific disease based on their
symptoms:
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Confusion Matrix
Prediction
Reality
Positive
Negative
Positive
80
20
Negative
25
30
(i) Identify the total number of incorrect diagnoses made by the system.
(ii) Calculate precision, recall, and F1 Score.
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